Lyft
Data Science Manager, P&L Management
Lyft, San Francisco, California, United States, 94199
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
We are looking for an experienced Data Analytics Manager to join our P&L management team within the Rideshare Central Management organization. This individual will help manage the profit and loss for Lyft’s core Rideshare business and work closely with Data Scientist and Analysts in the team and cross teams to shape Lyft’s future investment strategies. Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Central Market Management team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. You will lead a group of Data Analysts into problems ranging from shaping critical business decisions to prioritizing project roadmaps and identifying investment opportunities.
The Strategic planning and P&L management team sits within the Central Market Management organization and reports through the Head of Rideshare. Our team is heavily cross-functional as we are at the intersection between Product, Engineering, Finance, Data Science, and Operations. You’ll own workstreams, analyses, modeling, strategy, and business metrics. We are looking for analytical talent to provide insights and actionable recommendations that will drive impact.
Responsibilities:
Lead a team of talented Data AnalystsMentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goalsProvide continuous feedback, address performance, and recognize the individual strengths and contributions of your team membersCreate plans for prioritizing technical and resourcing challenges in your organizationWorking closely with investment lever teams to recommended strategies in quarter investmentsLeveraging analytics and data science to analyze business problemsPartner with Data Scientist and Engineers to improve models and processesPresent findings, recommendations, and results to senior leadership and cross-functional stakeholders
Experience:
Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experienceExperience in leading high visibility projects and influencing others in a cross-functional team environmentMinimum 8+ years experience in strategic data science/analytics roles in a technology company, management consulting, investment firms, or an equivalent analytical role in a high growth startupExperience in strategic investment, prioritizing against different projects, and leading teams in deep dive analysis, business metrics, and implementationAbility to work in highly ambiguous and broad scope of work streamsAbility to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiencesAbility to manage, influence, negotiate, and inspire others in a fast-moving environmentAbility to use data visualization tools to provide actionable insights and reusable frameworksStrong financial knowledge and understanding of profit and lossTeam leadership that inspires high performance while supporting and coaching team membersProficiency in Spreadsheet, SQL, and Python
Benefits:
Great medical, dental, and vision insurance optionsMental health benefitsFamily building benefitsIn addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off401(k) plan to help save for your future18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligiblePre-tax commuter benefitsLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the San Francisco area is $172,000 - $215,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
#J-18808-Ljbffr
We are looking for an experienced Data Analytics Manager to join our P&L management team within the Rideshare Central Management organization. This individual will help manage the profit and loss for Lyft’s core Rideshare business and work closely with Data Scientist and Analysts in the team and cross teams to shape Lyft’s future investment strategies. Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Central Market Management team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. You will lead a group of Data Analysts into problems ranging from shaping critical business decisions to prioritizing project roadmaps and identifying investment opportunities.
The Strategic planning and P&L management team sits within the Central Market Management organization and reports through the Head of Rideshare. Our team is heavily cross-functional as we are at the intersection between Product, Engineering, Finance, Data Science, and Operations. You’ll own workstreams, analyses, modeling, strategy, and business metrics. We are looking for analytical talent to provide insights and actionable recommendations that will drive impact.
Responsibilities:
Lead a team of talented Data AnalystsMentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goalsProvide continuous feedback, address performance, and recognize the individual strengths and contributions of your team membersCreate plans for prioritizing technical and resourcing challenges in your organizationWorking closely with investment lever teams to recommended strategies in quarter investmentsLeveraging analytics and data science to analyze business problemsPartner with Data Scientist and Engineers to improve models and processesPresent findings, recommendations, and results to senior leadership and cross-functional stakeholders
Experience:
Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experienceExperience in leading high visibility projects and influencing others in a cross-functional team environmentMinimum 8+ years experience in strategic data science/analytics roles in a technology company, management consulting, investment firms, or an equivalent analytical role in a high growth startupExperience in strategic investment, prioritizing against different projects, and leading teams in deep dive analysis, business metrics, and implementationAbility to work in highly ambiguous and broad scope of work streamsAbility to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiencesAbility to manage, influence, negotiate, and inspire others in a fast-moving environmentAbility to use data visualization tools to provide actionable insights and reusable frameworksStrong financial knowledge and understanding of profit and lossTeam leadership that inspires high performance while supporting and coaching team membersProficiency in Spreadsheet, SQL, and Python
Benefits:
Great medical, dental, and vision insurance optionsMental health benefitsFamily building benefitsIn addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off401(k) plan to help save for your future18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligiblePre-tax commuter benefitsLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the San Francisco area is $172,000 - $215,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
#J-18808-Ljbffr